Triple
T11219125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sovana |
E265513
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Sorano |
E286533
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sorano | Statement: [Sovana, partOf, Sorano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorano Context triple: [Sovana, partOf, Sorano]
-
A.
Sorano
chosen
Sorano is a historic hill town in southern Tuscany, Italy, known for its medieval architecture, tufa rock cliffs, and well-preserved ancient fortifications.
-
B.
Turbaco
Turbaco is a Colombian town and municipality located near Cartagena in the Bolívar Department, known for its historical significance and growing suburban character.
-
C.
Montasola
Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
-
D.
Serenno
Serenno is a wealthy, aristocratic planet in the Star Wars universe, known as the ancestral seat of Count Dooku and a center of noble power and influence.
-
E.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ea19e8819095d5d02c1f145534 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4976f38788190855aed6338d819b7 |
completed | April 19, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:30 p.m.